The role of weather radar in rainfall estimation and its application in meteorological and hydrological modelling—A review
Radar-based rainfall information has been widely used in hydrological and meteorological
applications, as it provides data with a high spatial and temporal resolution that improve …
applications, as it provides data with a high spatial and temporal resolution that improve …
Progress and challenges with Warn-on-Forecast
The current status and challenges associated with two aspects of Warn-on-Forecast—a
National Oceanic and Atmospheric Administration research project exploring the use of a …
National Oceanic and Atmospheric Administration research project exploring the use of a …
[HTML][HTML] Indirect assimilation of radar reflectivity with WRF 3D-Var and its impact on prediction of four summertime convective events
H Wang, J Sun, S Fan… - Journal of Applied …, 2013 - journals.ametsoc.org
Indirect Assimilation of Radar Reflectivity with WRF 3D-Var and Its Impact on Prediction of Four
Summertime Convective Events in: Journal of Applied Meteorology and Climatology Volume …
Summertime Convective Events in: Journal of Applied Meteorology and Climatology Volume …
[HTML][HTML] A comparison of multiscale GSI-based EnKF and 3DVar data assimilation using radar and conventional observations for midlatitude convective-scale …
A Comparison of Multiscale GSI-Based EnKF and 3DVar Data Assimilation Using Radar and
Conventional Observations for Midlatitude Convective-Scale Precipitation Forecasts in: Monthly …
Conventional Observations for Midlatitude Convective-Scale Precipitation Forecasts in: Monthly …
Storm-scale data assimilation and ensemble forecasting with the NSSL experimental Warn-on-Forecast system. Part II: Combined radar and satellite data experiments
TA Jones, K Knopfmeier, D Wheatley… - Weather and …, 2016 - journals.ametsoc.org
This research represents the second part of a two-part series describing the development of
a prototype ensemble data assimilation system for the Warn-on-Forecast (WoF) project …
a prototype ensemble data assimilation system for the Warn-on-Forecast (WoF) project …
[HTML][HTML] Tornadogenesis in a high-resolution simulation of the 8 May 2003 Oklahoma City supercell
AD Schenkman, M Xue, M Hu - Journal of the Atmospheric …, 2014 - journals.ametsoc.org
Tornadogenesis in a High-Resolution Simulation of the 8 May 2003 Oklahoma City
Supercell in: Journal of the Atmospheric Sciences Volume 71 Issue 1 (2014) Jump to …
Supercell in: Journal of the Atmospheric Sciences Volume 71 Issue 1 (2014) Jump to …
[HTML][HTML] Direct assimilation of radar reflectivity without tangent linear and adjoint of the nonlinear observation operator in the GSI-based EnVar system: Methodology …
Direct Assimilation of Radar Reflectivity without Tangent Linear and Adjoint of the Nonlinear
Observation Operator in the GSI-Based EnVar System: Methodology and Experiment with the 8 …
Observation Operator in the GSI-Based EnVar System: Methodology and Experiment with the 8 …
Current status and future challenges of weather radar polarimetry: Bridging the gap between radar meteorology/hydrology/engineering and numerical weather …
After decades of research and development, the WSR-88D (NEXRAD) network in the United
States was upgraded with dual-polarization capability, providing polarimetric radar data …
States was upgraded with dual-polarization capability, providing polarimetric radar data …
Impacts of adding hydrometeor control variables on the radar reflectivity data assimilation for the 6–8 August 2018 mesoscale convective system case
Hydrometeor information from radar reflectivity observations plays an important role in
initializing convective-scale numerical weather forecast (NWP). The introduction of …
initializing convective-scale numerical weather forecast (NWP). The introduction of …
Recent advancements for tropical cyclone data assimilation
H Christophersen, J Sippel, A Aksoy… - Annals of the New …, 2022 - Wiley Online Library
In this review, data assimilation (DA) techniques used for tropical cyclones (TCs) are briefly
overviewed. The strength and weakness of variational methods, ensemble methods, hybrid …
overviewed. The strength and weakness of variational methods, ensemble methods, hybrid …